End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: test-model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# test-model
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0400
+- Accuracy: 0.9966
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9771 | 32   | 0.7954          | 0.5556   |
+| No log        | 1.9847 | 65   | 0.4120          | 0.8956   |
+| No log        | 2.9924 | 98   | 0.3117          | 0.9091   |
+| 0.6689        | 4.0    | 131  | 0.1664          | 0.9663   |
+| 0.6689        | 4.9771 | 163  | 0.1365          | 0.9731   |
+| 0.6689        | 5.9847 | 196  | 0.0989          | 0.9832   |
+| 0.2409        | 6.9924 | 229  | 0.1196          | 0.9562   |
+| 0.2409        | 8.0    | 262  | 0.0729          | 0.9832   |
+| 0.2409        | 8.9771 | 294  | 0.0400          | 0.9966   |
+| 0.1136        | 9.7710 | 320  | 0.0466          | 0.9933   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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runs/Jul09_17-20-49_db231c9c58f8/events.out.tfevents.1720547250.db231c9c58f8.1856.1

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